#138807 - Senior Data Platform Engineer

Geta, Åland Islands

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

Before you apply

Eligibility: Candidates must be based in an eligible EMEA country approved for sourcing. — eligibility source
Candidates must be based in an eligible EMEA country approved for sourcing.
Read the full posting

What you’ll work on

Full posting

Migrate data-platform infrastructure and workloads from legacy environments to AWS
Enable secure and governed access to data for platform consumers
Operate Snowflake, Confluent/Kafka and AWS across dev, stage and production
Troubleshoot production issues and take part in incident response
Deliver repeatable, auditable infrastructure changes using Terraform and GitLab

From the employer’s posting

Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure.

Enable secure and governed access to data for platform consumers and downstream systems.

Operate and migrate Snowflake, Confluent/Kafka, AWS, and related data-platform infrastructure across development, stage, and production environments.

Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation.

Deliver repeatable and auditable infrastructure changes using Terraform or comparable infrastructure-as-code practices, GitLab, monitoring, and documented change processes.

What you’ll bring

All qualifications

Core experience

3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience.
Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.
Strong Python, Bash, and SQL skills.
Experience aligning systems and operating practices during a company migration or acquisition.
Experience operating or migrating production systems across development, stage, and production environments.
Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

Qualification wording

3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience.

Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.

Strong Python, Bash, and SQL skills.

Experience aligning systems and operating practices during a company migration or acquisition.

Experience operating or migrating production systems across development, stage, and production environments.

Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 2026today
Recorded sightings: 2
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is steady
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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Bash
Python
SQL
AWS
dbt
Hadoop
Hive
Kafka
Snowflake
Spark
Terraform

Where the posting names them

- 3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience. - Strong Python, Bash, and SQL skills. - Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles:

Required Tools & Platforms - Python, Bash, and SQL. - Snowflake.

Key Responsibilities - Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure. - Support connectivity, deployment, and operational prerequisites for workloads moving to AWS us-east-2.

- Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure. - Support connectivity, deployment, and operational prerequisites for workloads moving to AWS us-east-2. - Enable secure and governed access to data for platform consumers and downstream systems.

- Modernize data-platform architecture, tooling, orchestration, storage, and operational practices. - Operate and migrate Snowflake, Confluent/Kafka, AWS, and related data-platform infrastructure across development, stage, and production environments. - Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation.

- Strong Python, Bash, and SQL skills. - Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles: - Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or

- Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles: - Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or - Deep Kafka/Confluent and AWS experience with working Snowflake knowledge.

- Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or - Deep Kafka/Confluent and AWS experience with working Snowflake knowledge. - Experience operating or migrating production systems across development, stage, and production environments.

- Apache Spark and Hadoop, Hive, or HQL experience, including modernization or migration of legacy workloads. - Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools. - Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.

- Confluent and Apache Kafka, including topics, connectors, and schemas. - AWS, including production migration and operations. - Terraform or comparable infrastructure-as-code tooling.

- This is not currently a contract-to-hire opportunity. - The successful candidate will use a client-provisioned AWS WorkSpace. Company Description

Company Description We are seeking a hands-on Senior Data Platform Engineer to support the modernization, migration, and reliability of a large-scale production data platform. This role combines data engineering with platform and DevOps operations across Snowflake, Confluent/Kafka, and AWS. Enterprise experience strongly preferred.

Nice-to-Have Skills - Apache Spark and Hadoop, Hive, or HQL experience, including modernization or migration of legacy workloads. - Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools.

- Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools. - Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms. - Experience aligning systems and operating practices during a company migration or acquisition.

- Snowflake. - Confluent and Apache Kafka, including topics, connectors, and schemas. - AWS, including production migration and operations.

- Experience aligning systems and operating practices during a company migration or acquisition. - Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns. Required Tools & Platforms

- Python, Bash, and SQL. - Snowflake. - Confluent and Apache Kafka, including topics, connectors, and schemas.

- Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation. - Deliver repeatable and auditable infrastructure changes using Terraform or comparable infrastructure-as-code practices, GitLab, monitoring, and documented change processes. - Coordinate migration work and technical dependencies across platform, data, and consuming teams.

- Experience with least-privilege access, change control, secrets handling, and secure operational practices. - Hands-on experience using Terraform or infrastructure as code, GitLab, and monitoring to deliver repeatable and auditable changes. Nice-to-Have Skills

- AWS, including production migration and operations. - Terraform or comparable infrastructure-as-code tooling. - GitLab.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Key Responsibilities

Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure.
Support connectivity, deployment, and operational prerequisites for workloads moving to AWS us-east-2.
Enable secure and governed access to data for platform consumers and downstream systems.
Modernize data-platform architecture, tooling, orchestration, storage, and operational practices.
Operate and migrate Snowflake, Confluent/Kafka, AWS, and related data-platform infrastructure across development, stage, and production environments.
Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation.
Deliver repeatable and auditable infrastructure changes using Terraform or comparable infrastructure-as-code practices, GitLab, monitoring, and documented change processes.
Coordinate migration work and technical dependencies across platform, data, and consuming teams.

Qualifications

Must-Have Skills

3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience.
Strong Python, Bash, and SQL skills.
Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles:
- Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or
- Deep Kafka/Confluent and AWS experience with working Snowflake knowledge.
Experience operating or migrating production systems across development, stage, and production environments.
Strong production troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
Experience with least-privilege access, change control, secrets handling, and secure operational practices.
Hands-on experience using Terraform or infrastructure as code, GitLab, and monitoring to deliver repeatable and auditable changes.

Nice-to-Have Skills

Apache Spark and Hadoop, Hive, or HQL experience, including modernization or migration of legacy workloads.
Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools.
Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.
Experience aligning systems and operating practices during a company migration or acquisition.
Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

Required Tools & Platforms

Python, Bash, and SQL.
Snowflake.
Confluent and Apache Kafka, including topics, connectors, and schemas.
AWS, including production migration and operations.
Terraform or comparable infrastructure-as-code tooling.
GitLab.
Production monitoring and incident-response tooling.

Location, Time & Engagement

Candidates must be based in an eligible EMEA country approved for sourcing.
Full U.S. Central Standard Time coverage (UTC-6) is required.
Remote contract engagement for 45 hours per week.
This is not currently a contract-to-hire opportunity.
The successful candidate will use a client-provisioned AWS WorkSpace.

Company Description

We are seeking a hands-on Senior Data Platform Engineer to support the modernization, migration, and reliability of a large-scale production data platform. This role combines data engineering with platform and DevOps operations across Snowflake, Confluent/Kafka, and AWS.

Enterprise experience strongly preferred.

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